Ad Creative
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN…
Install Sealeap Dijiang Amazon Ppc Harvest And Defend
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-ppc-harvest-and-defend --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend .claude/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sealeap-dijiang-amazon-ppc-harvest-and-defend" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend into .claude/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-ppc-harvest-and-defend", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defendType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-ppc-harvest-and-defend --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend .agents/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-dijiang-amazon-ppc-harvest-and-defend" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend into .agents/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-ppc-harvest-and-defend", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-ppc-harvest-and-defend --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend .cursor/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sealeap-dijiang-amazon-ppc-harvest-and-defend" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend into .cursor/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-ppc-harvest-and-defend", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xjli360/sealeap-amazon-skills.git --path amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-ppc-harvest-and-defend --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend .gemini/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sealeap-dijiang-amazon-ppc-harvest-and-defend" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend into .gemini/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-ppc-harvest-and-defend", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-ppc-harvest-and-defendInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend .github/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-dijiang-amazon-ppc-harvest-and-defend" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend into .github/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-ppc-harvest-and-defend", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-dijiang-amazon-ppc-harvest-and-defend --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend .opencode/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-dijiang-amazon-ppc-harvest-and-defend" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend into .opencode/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-dijiang-amazon-ppc-harvest-and-defend", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sealeap-dijiang-amazon-ppc-harvest-and-defend- GitHub stars
- 251
- Token cost
- ~869 tokens
- SKILL.md length
- 166 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN…
- Works in 4 steps: 诊断：读取现状、证据和缺口，不生成线上写入动作。 → 方案草案：输出可审核的结构、参数范围、实验和回退值。 → 执行准备：只生成待批准变更表或 API/控制台操作草案。 → …
- 广告结构怎么搭、自动广告怎么用来挖词、怎么反查自己已经在排的关键词、acos太高怎么优化结构
- SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
- Runs Python scripts from its folder
What it does
Sealeap Dijiang Amazon Ppc Harvest And Defend is an agent skill from xjli360/sealeap-amazon-skills. Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN lookup of the listing's currently-ranking keywords to reinforce organic rank, mining and negating terms between the two over time. Use for 广告结构怎么搭、自动广告怎么用来挖词、怎么反查自己已经在排的关键词、acos太高怎么优化结构. Do not use fixed bid or budget numbers from any external source as targets — calibrate every value against the account's own CPC and…
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It sits in Marketing & SEO, covering Paid advertising. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
When your agent uses it
- 广告结构怎么搭、自动广告怎么用来挖词、怎么反查自己已经在排的关键词、acos太高怎么优化结构
- Tasks that involve Paid advertising
Example prompts
- “/sealeap-dijiang-amazon-ppc-harvest-and-defend”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
What it can do on your machine
Read from SKILL.md and the folder at commit 497d4b8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Sealeap Dijiang Amazon Ppc Harvest And Defend loads about 869 tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 166 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 166 words, ~869 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-dijiang-amazon-ppc-harvest-and-defend
- description
- Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN lookup of the listing's currently-ranking keywords to reinforce organic rank, mining and negating terms between the two over time. Use for 广告结构怎么搭、自动广告怎么用来挖词、怎么反查自己已经在排的关键词、acos太高怎么优化结构. Do not use fixed bid or budget numbers from any external source as targets — calibrate every value against the account's own CPC and break-even ACOS.
Amazon 捡漏反查双轨PPC结构
目标
Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN lookup of the listing's currently-ranking keywords to reinforce organic rank, mining and negating terms between the two over time.
不可妥协的边界
- 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
- 第三方数据一律标为估算或前台观测，不得写成 Amazon 一方事实。
- 默认只读诊断和草案；任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
- 一次实验只改变一个主要变量，并记录基线、样本、成功、停止和回退条件。
- 不得复制来源材料或竞品表达；输出必须按当前任务重新组织并可由现有证据支撑。
- 具体出价分值、广告位加价百分比与每日预算金额均为来源示例，不构成任何跨账户通用的基准，必须用当前账户的实际 CPC、转化率与目标 ACOS 重新测算。
- “广告出单会提升自然排名”是行业内被广泛采信但未经平台官方证实的因果假设，只能作为待验证假设，观察窗口要控制价格、促销、库存等变量，避免把其他因素造成的排名变化误记为广告效果。
- 自动广告与反查关键词工具给出的匹配结果分别代表平台侧词语相关性判断和第三方对自然排名的估算，两者口径不同，不应直接相加或互相替代验证。
- 双轨结构会同时消耗预算，若账户整体广告预算有限，需要先设定两条广告的资源分配优先级，而不是同时不设上限地跑满。
先判断任务模式
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
用户未指定时采用“诊断”。
开始前要拿到
- marketplace、店铺、ASIN/SKU、广告类型和目标
- 同口径的 Campaign、Targeting、Search Term、Placement 与 Advertised Product 报告
- 售价、优惠、COGS、Amazon 费用、退款与目标贡献利润
- 库存、Buy Box、Listing、评论和同期市场事件
缺失项必须标为 NEEDS_EVIDENCE；不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。
工作流
先读取 references/playbook.md，确认该方法适用于当前对象。按以下顺序执行：
- 新建一个覆盖全部在售商品的自动定向广告活动，出价从账户当前可承受的最低起始价位开始（不套用他人给出的固定分值），先以“花小钱换取平台自行匹配的长尾词表现数据”为目的，而不是追求短期起量。
- 在该自动广告的竞价策略里加入按广告位的动态调价（首页顶部、商品页等位置可适度上调），上调幅度从一个较小的比例开始测试，观察是否明显推高花费而不带来相应转化，再决定是否继续放大。
- 运行一段可判断出趋势的周期后拉取该广告的搜索词报告，把确认有转化的词挑出来，迁移到独立的手动广告活动里精细化出价管理；对花费高但从未转化的词加入否定关键词，防止持续无效消耗。
- 另建一条广度覆盖思路不同的广告：先用反查自身 ASIN 的关键词工具，找出当前listing已经在自然结果里有一定排名或表现的关键词清单，把这些词整理为该新广告活动的定向关键词来源，而不是凭空猜测。
- 用这条反查得来的关键词建手动广告活动，目的是对“已经有一定自然排名基础”的词加大曝光与转化密度，帮助进一步稳固或提升这些词的排名，而不是像第一条广告那样以发现新词为目的。
- 每条广告活动的每日预算设置到“能产生足够点击量以获得可判断的数据样本”这一水平即可，不必对标他人公布的具体预算数字，预算是否合理以“该广告是否能在合理周期内跑出可解读的搜索词/转化数据”为验证标准。
- 定期（如按周或按可判断趋势的周期）复盘两条广告线的花费、转化与是否推动了自然排名变化，只把“广告过程中观察到的自然位置变化”记为账户内证据，不对外宣称这是平台排名算法的确定规律。
最后做数据充分性检查，并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足，状态写 HOLD。
第三方 MCP 数据
仅在自有数据不足且当前任务确实需要外部证据时，读取 references/mcp-data-plan.md，再使用 scripts/mcp_research.py。本 Skill 的外部取数目的：需要反查自身 ASIN 当前排名关键词时，可用关键词类数据连接器获取该 ASIN 的关键词表现估算，作为构建第二条广告活动的关键词来源，仅作代理证据使用。
- 先
doctor，再search-tools和describe；工具名及参数以实时tools/list与inputSchema为准。 - Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
tools/call或 Actor 可能计费；先展示 Provider、工具、无密钥业务参数、预计成本与输出位置，核对已有授权覆盖后才加--allow-cost；该标志不是费用上限。
必须交付的结果
- 自动广告捡漏搭建记录（含广告位加价设置）
- 搜索词报告与迁移/否定决策记录
- 自身ASIN反查关键词清单
- 反查词手动广告搭建记录
- 双轨周期复盘结论（费用/转化/排名观察）
- 数据范围、来源、采集时间、样本与限制。
- 关键假设、待补证据、风险和不可确定项。
- 若有动作：对象、旧值、新值、预期、停止条件、回退值与审批状态。
方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP；如已执行，另行记录实际结果及回读证据。未得到明确批准时，不得声称已修改线上对象。
© xjli360, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- references/playbook.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
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| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sealeap Dijiang Amazon Ppc Harvest And Defend this skillxjli360/sealeap-amazon-skills | 251 | — | ~869 | Automated safety check: Pass | MIT | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Ad Account Auditoraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ad Creative Builderaaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Questions about Sealeap Dijiang Amazon Ppc Harvest And Defend
What does Sealeap Dijiang Amazon Ppc Harvest And Defend do?
Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN…. Sealeap Dijiang Amazon Ppc Harvest And Defend is an agent skill from xjli360/sealeap-amazon-skills. Run two complementary PPC structures on Amazon: a low-bid automatic campaign with placement modifiers to cheaply harvest converting search terms, and a manual campaign built from a reverse-ASIN lookup of the listing's currently-ranking keywords to reinforce organic rank, mining and negating terms between the two over time.
When should I use Sealeap Dijiang Amazon Ppc Harvest And Defend?
Sealeap Dijiang Amazon Ppc Harvest And Defend fits situations like: 广告结构怎么搭、自动广告怎么用来挖词、怎么反查自己已经在排的关键词、acos太高怎么优化结构; tasks that involve Paid advertising.
How do I install Sealeap Dijiang Amazon Ppc Harvest And Defend in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a claude-code`. Or copy the skill folder (amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Dijiang Amazon Ppc Harvest And Defend in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a codex`. Or copy the skill folder (amazon-skills/youtube/dijiang/sealeap-dijiang-amazon-ppc-harvest-and-defend in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend in your project. Codex loads it when a task matches its description.
Can I use Sealeap Dijiang Amazon Ppc Harvest And Defend in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-dijiang-amazon-ppc-harvest-and-defend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend, .gemini/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend, .github/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend and .opencode/skills/sealeap-dijiang-amazon-ppc-harvest-and-defend in your project.
What does Sealeap Dijiang Amazon Ppc Harvest And Defend need to run?
Going by SKILL.md and its folder, Sealeap Dijiang Amazon Ppc Harvest And Defend needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Dijiang Amazon Ppc Harvest And Defend access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sealeap Dijiang Amazon Ppc Harvest And Defend safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Sealeap Dijiang Amazon Ppc Harvest And Defend use?
Sealeap Dijiang Amazon Ppc Harvest And Defend is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sealeap Dijiang Amazon Ppc Harvest And Defend use?
About 869 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Dijiang Amazon Ppc Harvest And Defend?
Skills that share tags, products or a category with Sealeap Dijiang Amazon Ppc Harvest And Defend: Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), Ad Account Auditor (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Ad Creative Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Dijiang Amazon Ppc Harvest And Defend?
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.